Amazon Sr Manager Research Science Measurement & Planning WW Sustainability 

United States, Washington, Seattle 

965992558

Success in this role requires building strong relationships across diverse stakeholder groups, translating complex concepts between sustainability domain experts and business leaders across the organization.
Key job responsibilities
- Develop integrated methodologies spanning key economic sectors (transportation, buildings, cloud computing, packaging, commodities, products/services)
- Guide integration of diverse analytical approaches into measurement and forecasting systems, including AI/ML, simulation, optimization, and life cycle assessment.
- Provide strategic guidance on emerging science standards, protocols, and data requirements
About the team
Diverse Experiences:
World Wide Sustainability values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Mentorship & Career Growth:
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life Balance:

- - Master’s degree in science, Engineering, Statistics, Economics, Computer Science, or related field
- - 15+ years of experience in environmental science, operations research, climate science, mathematics, statistics, computer science, or related fields
- 5+ years leading and managing multidisciplinary science and engineering teams
- • Proven experience building forecasting, planning, optimization, and analytics models or systems
- • Demonstrated ability to collaborate effectively with product and engineering teams
- • Strong project management and execution capabilities
- • Excellent written and verbal communication skills for diverse audiences, from technical teams to senior leadership

- PhD in Science, Engineering, Statistics, Economics, Computer Science, or related field
- 10+ years of post-PhD experience in relevant scientific or technical domains
- Track record of deploying science methodologies for high-impact operational and strategic decisions at scale
- Experience integrating scientific models and insights into production systems and technologies
- Demonstrated success partnering with cross-functional teams and business units
- Expertise in applying diverse modeling approaches (ML/AI, simulation, optimization) to complex sustainability challenges
- Some knowledge of environmental standards, protocols, and reporting frameworks (optional)
- Experience leading the transformation of traditional methodologies and workflows through generative AI integration and automation
- Exceptional ability to communicate complex technical concepts to varied audiences, including executives and external stakeholdersPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.